首页|Genetic Algorithm-based Multi-method Rule Learning for Data Mining
Genetic Algorithm-based Multi-method Rule Learning for Data Mining
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NETL
NSTL
The work presented here focuses on combining multiple classifiers using genetic algorithm to form a composite classifier for expert system and data mining tasks. The basis of the combination is that better concept learning is possible in many cases when the concepts learned from different approaches are combined to a more efficient concept In this paper, a genetic algorithm-based ensemble creation approach is proposed. The experimental results of the proposed algorithm, GAMRL on 22 real world data sets have shown that it provides better classification accuracies than the state-of-the-art individual classifiers. Again, our proposed approach is able to produce better and simpler ensembles than bagging method.
NETL
NSTL
